Performance improvement of photovoltaic power systems using an optimal control strategy based on whale optimization algorithm

• Published in: Electric power systems research Vol. 157; pp. 168 - 176
• Main Author: Hasanien, Hany M.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.04.2018; Elsevier Science Ltd
• Subjects: Algorithms; Computer simulation; Control; Control systems design; Electric power systems; Field tests; Optimal control; Optimization; Photovoltaic cells; Photovoltaic power systems; Power system control and dynamics; Proportional integral; Response surface methodology; Solar cells; Strategy; Validity; Whale optimization algorithm; Photovoltaic power systems; Response surface methodology; Whale optimization algorithm; Power system control and dynamics
• ISSN: 0378-7796; 1873-2046
• DOI: 10.1016/j.epsr.2017.12.019

•We present performance improvement of PV systems in this paper.•The objective is to enhance system performance using optimal control strategy.•The control strategy depends on whale optimization algorithm-based PI controller.•The effectiveness of proposed controller is compared with GRG-based PI controller.•The validity of the proposed system is verified by simulation results. Photovoltaic (PV) installations are consistently increasing all over the world, leading to a high penetration to the electric grid. Tremendous efforts should be exerted to maintain the operation of the PV systems at optimal conditions. This paper introduces an optimal control strategy with the purpose of enhancing the performance of PV systems. This control strategy is based on the proportional-integral (PI) controller, which is designed by using the whale optimization algorithm (WOA). The response surface methodology (RSM) model is established to create the objective function and its constraints. The proposed WOA-based PI controllers are utilized to control the DC chopper and grid-side inverter in order to achieve a maximum power point tracking operation and improve the dynamic voltage response of the PV system, respectively. The effectiveness of the control strategy is tested under different operating conditions of the PV system such as (1) subject the system to symmetrical and unsymmetrical fault conditions, (2) study the system responses under different irradiation and temperature conditions using real data extracted from a field test, and (3) subject the system to a sudden load disturbance in an autonomous operation. This effectiveness is compared with that achieved using the generalized reduced gradient (GRG) algorithm-based PI controller. The validity of the proposed control strategy is extensively verified by the simulation results, which are performed using PSCAD/EMTDC environment.